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hgpu.org » Applications » Physics » Astrophysics

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

Evan E. Schneider, Brant E. Robertson

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Tags: Astrophysics, Computational Physics, CUDA, Fluid dynamics, Instrumentation and Methods for Astrophysics, nVidia, Physics, Tesla K20

October 18, 2014 by hgpu

HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures

Salman Habib, Adrian Pope, Hal Finkel, Nicholas Frontiere, Katrin Heitmann, David Daniel, Patricia Fasel, Vitali Morozov, George Zagaris, Tom Peterka, Venkatram Vishwanath, Zarija Lukic, Saba Sehrish, Wei-keng Liao

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Tags: Algorithms, Astrophysics, Cell processor, Cosmology, CUDA, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia

October 13, 2014 by hgpu

Towards Efficient Indexing of Spatiotemporal Trajectories on the GPU for Distance Threshold Similarity Searches

Michael Gowanlock, Henri Casanova

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Tags: Algorithms, Astrophysics, Computer science, nVidia, OpenCL, Tesla C2075

October 13, 2014 by hgpu

A new ray-tracing scheme for 3D diffuse radiation transfer on highly parallel architectures

Satoshi Tanaka, Kohji Yoshikawa, Takashi Okamoto, Kenji Hasegawa

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, Numerical simulation, nVidia, Raytracing, Tesla M2090

October 8, 2014 by hgpu

Computational Gravitational Dynamics with Modern Numerical Accelerators

Simon Portegies Zwart, Jeroen Bedorf

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Tags: Algorithms, Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Stellar dynamics, Tesla K20

September 23, 2014 by hgpu

Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions

P. M. Sutter, Benjamin D. Wandelt, Franz Elsner

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Tags: Astrophysics, Cosmology, CUDA, nVidia, nVidia GeForce GTX 480

September 17, 2014 by hgpu

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

D. C. Price, M. A. Clark, B. R. Barsdell, R. Babich, L. J. Greenhill

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Source codes

Tags: Astrophysics, CUDA, Energy-efficient computing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 780, Package, Performance, Signal processing, Tesla K20

August 1, 2014 by hgpu

Dark Sky Simulations: Early Data Release

Samuel W. Skillman, Michael S. Warren, Matthew J. Turk, Risa H. Wechsler, Daniel E. Holz, P. M. Sutter

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Source codes

Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Package, Python, Tesla K20

July 22, 2014 by hgpu

Suitability of NVIDIA GPUs for SKA1-Low

Alessio Magro, Kristian Zarb Adami, Mike Clark, Steve Ord

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Tags: Astrophysics, CUDA, FPGA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 750 Ti, Signal processing, Tesla K40

July 18, 2014 by hgpu

Random Fields Generation on the GPU with the Spectral Turning Bands Method

Lars Hunger, Biagio Cosenza, Stefan Kimeswenger, Thomas Fahringer

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Tags: Algorithms, Astrophysics, CUDA, FFT, nVidia, nVidia GeForce GTX 550, OpenCL, Spectral methods

July 10, 2014 by hgpu

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Klaus Kofler, Dominik Steinhauser, Biagio Cosenza, Ivan Grasso, Sabine Schindler, Thomas Fahringer

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5870, ATI Radeon HD 7950, Computational Complexity, Computer science, KD-tree, N-body simulation, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla K20

July 1, 2014 by hgpu

Fast Galactic Structure Finding using Graphics Processing Units

Daniel Wood

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Tags: Astrophysics, CUDA, Gravitation, KD-tree, N-body simulation, nVidia, nVidia GeForce GTX 260 Ti, nVidia GeForce GTX 460 Ti

July 1, 2014 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures

Towards Efficient Indexing of Spatiotemporal Trajectories on the GPU for Distance Threshold Similarity Searches

A new ray-tracing scheme for 3D diffuse radiation transfer on highly parallel architectures

Computational Gravitational Dynamics with Modern Numerical Accelerators

Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

Dark Sky Simulations: Early Data Release

Suitability of NVIDIA GPUs for SKA1-Low

Random Fields Generation on the GPU with the Spectral Turning Bands Method

Kd-tree Based N-Body Simulations with Volume-Mass Heuristic on the GPU

Fast Galactic Structure Finding using Graphics Processing Units

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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